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example_tool

Process messages to enable unified AI interactions across multiple providers through the MCP Server's global API.

Instructions

An example tool that processes messages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoMessage to process
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states the tool 'processes messages' but does not disclose behavioral traits such as whether it's read-only or destructive, permission requirements, rate limits, or response format. This is inadequate for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is appropriately sized and front-loaded, clearly stating the tool's basic function without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a vague description, the description is incomplete. It fails to provide sufficient context for the agent to understand the tool's behavior, output, or how it fits with sibling tools, leaving significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the parameter 'message' documented in the schema. The description adds no meaning beyond the schema, as it does not explain what 'processes' entails for the message parameter. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'processes messages', which provides a basic purpose but is vague about what 'processes' entails. It distinguishes from siblings like 'api-client' or 'file-handler' by focusing on messages, but lacks specificity about the type of processing or resources involved.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not mention context, exclusions, or comparisons to sibling tools like 'data-processor' or 'my-tool', leaving the agent without usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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